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Karrierer
spor
Kun for Ultimate
Web Development with C#
7 Kurs
293 OppgaverNybegynner
4.8
(2548)
spor
Kun for Ultimate
Python from Zero to Hero
6 Kurs195 OppgaverNybegynner
4.7
(9133)
spor
Kun for Ultimate
SQL from Zero to Hero
4 Kurs115 OppgaverNybegynner
4.7
(2774)
spor
Kun for Ultimate
С++ Essentials
6 Kurs101 OppgaverNybegynner
4.4
(535)
spor
Kun for Ultimate
Game Development with Unity
4 Kurs143 OppgaverNybegynner
4.6
(92)
spor
Kun for Ultimate
Become a React Developer
4 Kurs98 OppgaverMiddelsnivå
4.7
(70)
spor
Kun for Ultimate
Excel Essentials
3 Kurs38 OppgaverNybegynner
4.7
(375)
spor
Kun for Ultimate
Java Essentials
7 Kurs376 OppgaverNybegynner
4.7
(220)
spor
Kun for Ultimate
Full Stack Web Development
7 Kurs345 OppgaverNybegynner
4.7
(893)
spor
Kun for Ultimate
Frontend Development Foundations
6 Kurs308 OppgaverNybegynner
4.7
(864)
spor
Kun for Ultimate
Mastering Data Visualization
5 Kurs146 OppgaverMiddelsnivå
4.7
(602)
spor
Kun for Ultimate
Machine Learning Mastery
5 Kurs148 OppgaverMiddelsnivå
4.6
(134)
spor
Kun for Ultimate
C++ Mastery
3 Kurs70 OppgaverAvansert
4.8
(17)
spor
Kun for Ultimate
Java Web
7 Kurs280 OppgaverAvansert
4.7
(3053)
spor
Kun for Ultimate
Become a QA Engineer
5 Kurs239 OppgaverNybegynner
4.7
(750)
spor
Kun for Ultimate
Video Production with Adobe
4 Kurs125 OppgaverNybegynner
5.0
(6)
spor
Kun for Ultimate
UI/UX Design Tools
3 Kurs119 OppgaverNybegynner
4.9
(8)
spor
Kun for Ultimate
Essential Office Skills
3 Kurs75 OppgaverNybegynner
4.8
(303)
spor
Kun for Ultimate
Digital Marketing Essentials
5 Kurs211 OppgaverNybegynner
4.8
(6)
spor
Kun for Ultimate
Complete Social Media Management
5 Kurs206 OppgaverNybegynner
5.0
(3)
spor
Kun for Ultimate
Business AI Toolkit
3 Kurs
2 Prosjekter49 OppgaverNybegynner
4.7
(40)
spor
Kun for Ultimate
No-Code Website Development
3 Kurs180 OppgaverNybegynner
4.3
(3)
spor
Kun for Ultimate
Deep Learning Odyssey
4 Kurs153 OppgaverAvansert
4.8
(21)
Kurs og prosjekter
prosjekt
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
5.0
(1)
Kun for Ultimate
2 timer
10 kapitlerAvansert
1 STUDERER NÅ
prosjekt
Identifying Spam Emails
We are going to classify emails as spam or non-spam by analyzing the content of the emails. We will preprocess the text data using techniques like tokenization and vectorization, then apply machine learning to build and evaluate a classification model, namely Logistic Regression. By the end of the project, we aim to develop a reliable tool for identifying spam emails.
ny
Kun for Ultimate
2 timer 11 kapitlerAvansert
prosjekt
Classifying Tweet Sentiments
We are going to classify tweets according to their sentiment, determining whether they express positive, negative, or neutral emotions. We will employ natural language processing techniques to preprocess the text data, and machine learning algorithms to build and evaluate sentiment classification models. By the end of the project, we aim to achieve a robust sentiment analysis tool that can accurately categorize the emotional tone of various tweets.
ny
Kun for Ultimate
2 timer 10 kapitlerAvansert
prosjekt
Predicting Profitable Euro-Dollar Exchange Signals
In this course, we will examine the currency exchange rate relative to the euro. Our analysis will include Exploratory Data Analysis (EDA), generating visualizations, and developing a strategy to determine opportune moments for purchasing dollars. This strategy will involve trend detection techniques and constructing moving average curves to identify potential profit opportunities.
ny
Kun for Ultimate
3 timer 20 kapitlerAvansert
prosjekt
Identifying Fake News
We are going to identify fake news by analyzing text data and determining whether articles are legitimate or deceptive. We will preprocess the text data using natural language processing techniques and apply machine learning algorithms to build and evaluate classification models. By the end of the project, we aim to develop an effective tool that can accurately distinguish between real and fake news.
ny
Kun for Ultimate
2 timer 9 kapitlerAvansert
prosjekt
Logistic Regression Mastering
Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. In this project, we will leverage logistic regression to classify data into two distinct categories. The process will involve data preprocessing, model training, evaluation, and tuning to achieve optimal performance.
ny
Kun for Ultimate
1 time 6 kapitlerAvansert
1 STUDERER NÅ
Sorry... We can't find
what you're looking for
Karrierer
spor
Kun for UltimateWeb Development with C#
7 Kurs293 OppgaverNybegynner
4.8
(2548)
spor
Kun for UltimatePython from Zero to Hero
6 Kurs195 OppgaverNybegynner
4.7
(9133)
spor
Kun for UltimateSQL from Zero to Hero
4 Kurs115 OppgaverNybegynner
4.7
(2774)
spor
Kun for UltimateС++ Essentials
6 Kurs101 OppgaverNybegynner
4.4
(535)
spor
Kun for UltimateGame Development with Unity
4 Kurs143 OppgaverNybegynner
4.6
(92)
spor
Kun for UltimateBecome a React Developer
4 Kurs98 OppgaverMiddelsnivå
4.7
(70)
spor
Kun for UltimateExcel Essentials
3 Kurs38 OppgaverNybegynner
4.7
(375)
spor
Kun for UltimateJava Essentials
7 Kurs376 OppgaverNybegynner
4.7
(220)
spor
Kun for UltimateFull Stack Web Development
7 Kurs345 OppgaverNybegynner
4.7
(893)
spor
Kun for UltimateFrontend Development Foundations
6 Kurs308 OppgaverNybegynner
4.7
(864)
spor
Kun for UltimateMastering Data Visualization
5 Kurs146 OppgaverMiddelsnivå
4.7
(602)
spor
Kun for UltimateMachine Learning Mastery
5 Kurs148 OppgaverMiddelsnivå
4.6
(134)
spor
Kun for UltimateC++ Mastery
3 Kurs70 OppgaverAvansert
4.8
(17)
spor
Kun for UltimateJava Web
7 Kurs280 OppgaverAvansert
4.7
(3053)
spor
Kun for UltimateBecome a QA Engineer
5 Kurs239 OppgaverNybegynner
4.7
(750)
spor
Kun for UltimateVideo Production with Adobe
4 Kurs125 OppgaverNybegynner
5.0
(6)
spor
Kun for UltimateUI/UX Design Tools
3 Kurs119 OppgaverNybegynner
4.9
(8)
spor
Kun for UltimateEssential Office Skills
3 Kurs75 OppgaverNybegynner
4.8
(303)
spor
Kun for UltimateDigital Marketing Essentials
5 Kurs211 OppgaverNybegynner
4.8
(6)
spor
Kun for UltimateComplete Social Media Management
5 Kurs206 OppgaverNybegynner
5.0
(3)
spor
Kun for UltimateBusiness AI Toolkit
3 Kurs2 Prosjekter49 OppgaverNybegynner
4.7
(40)
spor
Kun for UltimateNo-Code Website Development
3 Kurs180 OppgaverNybegynner
4.3
(3)
spor
Kun for UltimateDeep Learning Odyssey
4 Kurs153 OppgaverAvansert
4.8
(21)
spor
Kun for Ultimate
Web Development with C#
7 Kurs293 Oppgaver 4.8
spor
Kun for Ultimate
Python from Zero to Hero
6 Kurs195 Oppgaver 4.7
spor
Kun for Ultimate
SQL from Zero to Hero
4 Kurs115 Oppgaver 4.7
spor
Kun for Ultimate
С++ Essentials
6 Kurs101 Oppgaver 4.4
spor
Kun for Ultimate
Game Development with Unity
4 Kurs143 Oppgaver 4.6
spor
Kun for Ultimate
Become a React Developer
4 Kurs98 Oppgaver 4.7
spor
Kun for Ultimate
Excel Essentials
3 Kurs38 Oppgaver 4.7
spor
Kun for Ultimate
Java Essentials
7 Kurs376 Oppgaver 4.7
spor
Kun for Ultimate
Full Stack Web Development
7 Kurs345 Oppgaver 4.7
spor
Kun for Ultimate
Frontend Development Foundations
6 Kurs308 Oppgaver 4.7
spor
Kun for Ultimate
Mastering Data Visualization
5 Kurs146 Oppgaver 4.7
spor
Kun for Ultimate
Machine Learning Mastery
5 Kurs148 Oppgaver 4.6
spor
Kun for Ultimate
C++ Mastery
3 Kurs70 Oppgaver 4.8
spor
Kun for Ultimate
Java Web
7 Kurs280 Oppgaver 4.7
spor
Kun for Ultimate
Become a QA Engineer
5 Kurs239 Oppgaver 4.7
spor
Kun for Ultimate
Video Production with Adobe
4 Kurs125 Oppgaver 5.0
spor
Kun for Ultimate
UI/UX Design Tools
3 Kurs119 Oppgaver 4.9
spor
Kun for Ultimate
Essential Office Skills
3 Kurs75 Oppgaver 4.8
spor
Kun for Ultimate
Digital Marketing Essentials
5 Kurs211 Oppgaver 4.8
spor
Kun for Ultimate
Complete Social Media Management
5 Kurs206 Oppgaver 5.0
spor
Kun for Ultimate
Business AI Toolkit
3 Kurs2 Prosjekter49 Oppgaver 4.7
spor
Kun for Ultimate
No-Code Website Development
3 Kurs180 Oppgaver 4.3
spor
Kun for Ultimate
Deep Learning Odyssey
4 Kurs153 Oppgaver 4.8
Kurs og prosjekter
Teknologier
Filtre
prosjekt
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
5.0
(1)
Kun for Ultimate
2 timer 10 kapitlerAvansert
1 STUDERER NÅ
prosjekt
Identifying Spam Emails
We are going to classify emails as spam or non-spam by analyzing the content of the emails. We will preprocess the text data using techniques like tokenization and vectorization, then apply machine learning to build and evaluate a classification model, namely Logistic Regression. By the end of the project, we aim to develop a reliable tool for identifying spam emails.
ny
Kun for Ultimate
2 timer 11 kapitlerAvansert
prosjekt
Classifying Tweet Sentiments
We are going to classify tweets according to their sentiment, determining whether they express positive, negative, or neutral emotions. We will employ natural language processing techniques to preprocess the text data, and machine learning algorithms to build and evaluate sentiment classification models. By the end of the project, we aim to achieve a robust sentiment analysis tool that can accurately categorize the emotional tone of various tweets.
ny
Kun for Ultimate
2 timer 10 kapitlerAvansert
prosjekt
Predicting Profitable Euro-Dollar Exchange Signals
In this course, we will examine the currency exchange rate relative to the euro. Our analysis will include Exploratory Data Analysis (EDA), generating visualizations, and developing a strategy to determine opportune moments for purchasing dollars. This strategy will involve trend detection techniques and constructing moving average curves to identify potential profit opportunities.
ny
Kun for Ultimate
3 timer 20 kapitlerAvansert
prosjekt
Identifying Fake News
We are going to identify fake news by analyzing text data and determining whether articles are legitimate or deceptive. We will preprocess the text data using natural language processing techniques and apply machine learning algorithms to build and evaluate classification models. By the end of the project, we aim to develop an effective tool that can accurately distinguish between real and fake news.
ny
Kun for Ultimate
2 timer 9 kapitlerAvansert
prosjekt
Logistic Regression Mastering
Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. In this project, we will leverage logistic regression to classify data into two distinct categories. The process will involve data preprocessing, model training, evaluation, and tuning to achieve optimal performance.
ny
Kun for Ultimate
1 time 6 kapitlerAvansert
1 STUDERER NÅ
prosjekt
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
5.0
(1)
Kun for Ultimate
2 timer 10 kapitlerAvansert
1 STUDERER NÅ
prosjekt
Identifying Spam Emails
We are going to classify emails as spam or non-spam by analyzing the content of the emails. We will preprocess the text data using techniques like tokenization and vectorization, then apply machine learning to build and evaluate a classification model, namely Logistic Regression. By the end of the project, we aim to develop a reliable tool for identifying spam emails.
ny
Kun for Ultimate
2 timer 11 kapitlerAvansert
prosjekt
Classifying Tweet Sentiments
We are going to classify tweets according to their sentiment, determining whether they express positive, negative, or neutral emotions. We will employ natural language processing techniques to preprocess the text data, and machine learning algorithms to build and evaluate sentiment classification models. By the end of the project, we aim to achieve a robust sentiment analysis tool that can accurately categorize the emotional tone of various tweets.
ny
Kun for Ultimate
2 timer 10 kapitlerAvansert
prosjekt
Predicting Profitable Euro-Dollar Exchange Signals
In this course, we will examine the currency exchange rate relative to the euro. Our analysis will include Exploratory Data Analysis (EDA), generating visualizations, and developing a strategy to determine opportune moments for purchasing dollars. This strategy will involve trend detection techniques and constructing moving average curves to identify potential profit opportunities.
ny
Kun for Ultimate
3 timer 20 kapitlerAvansert
prosjekt
Identifying Fake News
We are going to identify fake news by analyzing text data and determining whether articles are legitimate or deceptive. We will preprocess the text data using natural language processing techniques and apply machine learning algorithms to build and evaluate classification models. By the end of the project, we aim to develop an effective tool that can accurately distinguish between real and fake news.
ny
Kun for Ultimate
2 timer 9 kapitlerAvansert
prosjekt
Logistic Regression Mastering
Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. In this project, we will leverage logistic regression to classify data into two distinct categories. The process will involve data preprocessing, model training, evaluation, and tuning to achieve optimal performance.
ny
Kun for Ultimate
1 time 6 kapitlerAvansert
1 STUDERER NÅ
Sorry... We can't find
what you're looking for
